Mathematics for Machine Learning, (Paperback)
This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites.
Mathematics for Machine Learning, (Paperback)
Item #: 42141106

Mathematics for Machine Learning, (Paperback)

Item #: 42141106

R$ 431

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from US

0 ratings Write a review
In stock
us Imported from USA store

QTY:

Only 12 items left in stock.
Order now and get it around Friday, October 16
Our Top Logistics Partners
  • fedex
  • dhl
This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites.
U-Care Warranty:
None
Select a Plan
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified


paypal payment
astropay payment
visa payment
mastercard payment
banco banrisul payment
american express payment
elo payment
boleto bancario payment
visa electron payment
boleto flash payment
pagseguro payment
caixa payment
itau payment
banco bradesco payment
banco do brasil payment
hipercard payment
banco santander payment

What Stands Out

Comprehensive Coverage
This book offers an in-depth exploration of essential mathematical concepts, ensuring learners grasp necessary skills for machine learning applications.
Practical Applications
Real-world examples illuminate complex theories, making abstract math accessible and relevant for aspiring data scientists and ML practitioners.
User-friendly Format
The paperback format allows for easy handling and note-taking, supporting readers in their journey through intricate mathematical frameworks consistently.

Product Details

Shop Mathematics for Machine Learning, (Paperback) online at a best price in Brazil. 736805943
  • Covers fundamental mathematical tools for understanding machine learning
  • Integrates mathematical concepts and machine learning methods for easy comprehension
  • Suitable for data science, computer science students, and professionals
  • Provides derivations for central machine learning methods like linear regression and support vector machines
  • Includes worked examples, exercises, and programming tutorials on the book's website
  • Serves as a self-contained textbook requiring minimal prerequisites
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateApril, 2020
Pages398
Reading levelGeneral
SubgenreArtificial Intelligence
Series titleNo Series
Edition1
PublisherCambridge University Press
Original languagesEnglish
LanguageEnglish
Edu focusMathematics
Educational levelGeneral
Is collectibleN
Binding typePerfect Binding
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)6.93 x 0.87 x 9.84 in (17.6 x 2.2 x 25 cm)
Assembled product weight1.85 lb (840 grams)
Bisac subject headingComputers

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Ideal for those starting a career in data science seeking foundational mathematical knowledge for machine learning.

  • Computer Science Students

    Perfect for students studying computer science who need to understand mathematical concepts applied in machine learning.

  • Researchers in AI

    Beneficial for researchers aiming to deepen their understanding of the mathematical underpinnings of machine learning algorithms.

Not Suitable For
  • Beginner Math Learners

    Not suitable for individuals without prior mathematical knowledge as it requires some familiarity with advanced concepts.

Product Description

About This Item

Are you looking for a comprehensive guide to understanding the mathematical concepts behind machine learning? Look no further than "Mathematics for Machine Learning Paperback." Written by renowned authors Marc Peter Deisenroth, A Aldo Faisal, and Cheng Soon Ong, this book is a must-have for anyone interested in the field of machine learning. ISBN: 9781108455145 In today's digital age, machine learning has become an integral part of various industries, including finance, healthcare, and technology. However, to truly grasp the concepts and algorithms used in machine learning, a solid foundation in mathematics is essential. This paperback edition of "Mathematics for Machine Learning" offers a comprehensive exploration of the mathematical principles that underpin the field. From linear algebra and calculus to probability and statistics, this book covers all the essential topics necessary for understanding and implementing machine learning algorithms. Whether you're a beginner or have some background knowledge in mathematics, this book has something to offer for everyone.

The authors have taken great care to explain complex mathematical concepts in a clear and concise manner, making it accessible to readers of all levels. By delving into the core principles of machine learning, this book provides a solid framework for understanding the algorithms and techniques used in this rapidly evolving field. With practical examples and exercises, readers will also gain hands-on experience in applying mathematical concepts to real-world machine learning problems. Stay up-to-date with the latest advancements in machine learning with this publication, as it was last revised and published on April 23, 2020. This ensures that you're getting the most relevant and up-to-date information in the field. Whether you're a student, a professional, or simply curious about the world of machine learning, "Mathematics for Machine Learning Paperback" is an indispensable resource.

Expand your knowledge and master the mathematical foundations of this exciting field today. Keywords: Mathematics for Machine Learning, Machine Learning Paperback, Mathematics, Machine Learning, Paperback.

Have any Query? Chat with us

Customer Questions & Answers

  • Question: Who is this textbook suitable for?

    Answer: Data science or computer science students, professionals, and those with a mathematical background.
  • Question: What machine learning methods are derived in this book?

    Answer: Linear regression, principal component analysis, Gaussian mixture models, and support vector machines.
  • Question: Are there programming tutorials available?

    Answer: Yes, programming tutorials are offered on the book's website.

Marc Peter Deisenroth All Books Editorial Review

Mathematics for Machine Learning (Paperback) is a comprehensive non-fiction book published by Cambridge University Press in April 2020. Spanning 398 pages, this text is aimed at a general audience interested in the intersection of mathematics and artificial intelligence. The book employs a well-structured approach to illuminate core mathematical concepts essential for machine learning, making it an ideal resource for those looking to deepen their understanding of this pivotal subject. Its perfect binding ensures durability, while the dimensions make it convenient for both reading and reference. Readers appreciate its clarity and practical insights into mathematical applications for computing.

Customer Reviews & Ratings

1 customers ratings
  • 5 Star
    100%
  • 4 Star
    0%
  • 3 Star
    0%
  • 2 Star
    0%
  • 1 Star
    0%

Review this product

Share your thoughts with other customers

Pros

  • Comprehensive coverage of essential mathematical concepts
  • Well-structured for general understanding
  • Ideal for those interested in artificial intelligence
  • Durable perfect binding for longevity
  • Includes practical insights for real-world applications

Cons

  • Not a collectible edition

Platform Trust & Buyer Confidence

trustpilot logo
4.2/5 9477 reviews
Read reviews
JK
Jasmin
Verified buyer

“Great products and very good service: very easy and very fast international delivery.”

9 September 2026 · via Trustpilot
AG
Anke
Verified buyer

“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”

10 September 2026 · via Trustpilot
H
Hazel
Verified buyer

“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”

10 September 2026 · via Trustpilot
O
Opaleye
Verified buyer

“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”

11 September 2026 · via Trustpilot
AC
Adele
Verified buyer

“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · via Trustpilot
Secure Checkout Global Delivery Easy Returns Genuine Products

Product Price History

Important information

  • Limitations : For products shipped internationally, please note that any manufacturer warranty may not be valid; manufacturer service options may not be available; product manuals, instructions, and safety warnings may not be in destination country languages; the products (and accompanying materials) may not be designed in accordance with destination country standards, specifications, and labeling requirements; and the products may not conform to destination country voltage and other electrical standards (requiring use of an adapter or converter if appropriate). The recipient is responsible for assuring that the product can be lawfully imported to the destination country. When ordering from Ubuy or its affiliates, the recipient is the importer of record and must comply with all laws and regulations of the destination country.
  • Not all the products listed on Ubuy are for sale, as Ubuy is a global search engine. Products are subject to export/trade regulations.